Genetic algorithm and linear programming belong in the optimization general category of bi/analytics.
A genetic algorithm (GA), which is a subclass of the larger class of evolutionary algorithms in computer science and operations research, is a metaheuristic that takes its cues from the process of natural selection (EA).
The term "linear programming" (LP), sometimes known as "linear optimization," refers to a technique for determining the optimal result in a mathematical model whose criteria are represented by linear relationships, such as the largest profit or lowest cost. Linear programming is a particular kind of mathematical programming (also known as mathematical optimization).
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